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Publications

Affichage des publications 261 à 270 sur 1077 au total

Computer Science

Detection of Cyberbullying in Online Comments Latest Advances and Challenges

Cyberbullying is a growing problem in today's digital society, with seriousconsequences for the mental health, professional life, and generalwell-being of victims. To combat this phenomenon, it is essential toeffectively detect cases of…

Lina Feriel Benassou, Safa Bendaouia, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Signal and Image processing

Détection a contrario de la double compression vidéo et application préliminaire à la détection de deepfakes

Video double compression detection can provide important clues to recover the video editing and sharing history. Indeed, to manipulate a video, one must first decompress it, then perform the desired editions and finally re-encode it. In this article…

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Jean-Michel Morel, Miguel Colom, Rafael Grompone

XXIXème Colloque Francophone de Traitement du Signal et des Images GRETSI 2023 -

Machine Learning

Tensor-based Graph Modularity for Text Data Clustering

Graphs are used in several applications to represent similarities between instances. For text data, we can represent texts by different features such as bag-of-words, static embeddings (Word2vec, GloVe, etc.), and contextual embeddings (BERT,…

Rafika Boutalbi, Mira Ait-Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif

SIGIR'22: International ACM SIGIR Conference on Research and Development in Information Retrieval -

Environmental Engineering

Multi-snapshot inversion of interferometric synthetic aperture microwave radiometry observations for remote sensing

The Soil Moisture and Ocean Salinity (SMOS) satellite [3] produces images of L-band brightness temperature using interferometry. The brightness temperatures that gave rise to a set of observed visibilities are inferred by solving an inverse problem…

Max Dunitz, Eric Anterrieu, Ali Khazaal, Nemesio Rodriguez-Fernandez, Yann Kerr, Jean-Michel Morel, Miguel Colom

2023 IEEE Conference on Antenna Measurements and Applications (CAMA 2023) -

Machine Learning

Is Anisotropy Truly Harmful? A Case Study on Text Clustering

In the last few years, several studies have been devoted to dissecting dense text representations in order to understand their effectiveness and further improve their quality. Particularly, the anisotropy of such representations has been observed,…

Mira Ait-Saada, Mohamed Nadif

61st Annual Meeting of the Association for Computational Linguistics (ACL’23) -

Machine Learning

Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora

Unsupervised anomaly detection seeks to identify deviant data samples in a dataset without using labels and constitutes a challenging task, particularly when the majority class is heterogeneous. This paper addresses this topic for textual data and…

Mira Ait-Saada, Mohamed Nadif

The 17th Conference of the European Chapter of the Association for Computational Linguistic -

Computer Science

CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée

Nous proposons une interface d'aide à l'analyse de corpus via la visualisation interactive de coclusters afin d'accompagner l'exploration des thématiques pour un ensemble de textes. Les saisies de l'utilisateur permettent la création ou le…

Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif

23ème conférence francophone sur l'extraction et la gestion des connaissances, EGC 2023 -

Life Sciences

A Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units

In a recent review, we summarized the characteristics of perceptual-motor style in humans. Style can vary from individual to individual, task to task and pathology to pathology, as sensorimotor transformations demonstrate considerable adaptability…

Cyril Voisard, Nicolas de L’escalopier, Albane Moreau, Alienor Vienne-Jumeau, Damien Ricard, Laurent Oudre

Image Processing On Line -